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- Tasks: Lead a dynamic team of data scientists and drive innovative projects with cutting-edge techniques.
- Company: Join a forward-thinking organisation that values collaboration and diversity.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of data science and mentoring the next generation.
- Qualifications: 7+ years in leadership roles with expertise in data science and machine learning.
- Other info: Thriving environment with a focus on continuous learning and team excellence.
The predicted salary is between 72000 - 108000 £ per year.
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth.
Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards.
Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects.
Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives.
Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies.
Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes.
Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals.
Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.
Foster Team Excellence: Lead and manage a multidisciplinary team of data scientists, machine learning engineers, and GenAI developers, ensuring they are empowered to deliver high-quality, scalable solutions.
Quality Assurance: Establish and enforce best practices for coding, model development, and deployment processes to ensure all outputs meet organisational standards.
Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support individual and team growth.
Collaboration: Act as a bridge between squads and stakeholders, ensuring alignment and collaboration across teams to maximise impact.
Upskilling: Develop and execute training plans to enhance the team’s technical capabilities.
Mentorship: Provide technical mentorship and career guidance to team members, fostering a culture of continuous learning and professional development.
Knowledge Sharing: Encourage and facilitate the sharing of knowledge, tools, and techniques within the team and across the organisation.
7+ years’ leadership experience leading, managing or influencing multiple functions, geographies and stakeholders (ideally in a Global Digital Program). Experience managing a large, multi-cultural, diverse team.
Significant previous experience creating and leading cross functional and multi-country business change programmes.
Familiarity with modern data science tools and technologies such as continuous integration, build, deliver, test-driven development and automated acceptance testing.
Experience of managing a portfolio of programmes and initiatives within a matrix structure, creating/delivering customer value propositions, and leading technology related programmes.
Communicating and inspiring confidence at a senior level with technical and non-technical audiences, with the ability to shape strong presentations and narratives that influence and commit people to change.
Experience in multi-facility, international organisations with diverse multi-cultural, corporate cultures.
Strong team engagement and motivation skills. You’ll be adaptable and able to pivot in a dynamic environment, a digital enthusiast, a coach and a communicator.
Ability to lead in a matrix and build capabilities in global teams.
An advocate and ambassador of the ‘test, learn, build or pivot’ approach.
Excellent understanding of machine learning techniques and algorithms.
Knowledge of implementing Data Science, Machine Learning and GenAI solutions at scale.
Experience with common statistical techniques and data science toolkits.
Strong quantitative and analytical skills and experience with data visualisation tools.
Applied statistics skills, such as distributions, statistical testing, regression etc.
Experience with AWS, Databricks and Dataiku.
Strong understanding of data structures and algorithms plus solution and technical design.
Able to quickly pick up new programming languages, technologies, and frameworks.
Strong knowledge of applied data science.
Significant expertise in machine learning algorithms and data science methods.
Strong data wrangling experience with structured and unstructured data.
Experience with various programming and scripting languages, databases, processing and storage frameworks plus coverage with various hyperparameter tuning approaches.
Understanding and experience with CRISP-DM and Agile data science framework.
Ability to identify and resolve both people and process related issues.
Data Science Senior Principal in Manchester employer: CHEP UK Ltd.
Contact Detail:
CHEP UK Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Senior Principal in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or conferences to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use platforms like GitHub to share your code and results. This gives hiring managers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Ace the interview! Prepare for common data science interview questions and practice explaining your thought process. Remember, it’s not just about getting the right answer but also about how you approach problems and communicate your ideas.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Data Science Senior Principal in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Senior Principal role. Highlight your leadership experience, technical expertise, and any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've mentored teams, implemented CI/CD pipelines, or driven innovation in data science projects.
Showcase Your Communication Skills: Since you'll be communicating with both technical teams and business stakeholders, demonstrate your ability to translate complex data insights into actionable strategies. Use clear and concise language in your application.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application is reviewed promptly and you get the best chance to showcase your talents!
How to prepare for a job interview at CHEP UK Ltd.
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and statistical analysis skills. Be ready to discuss specific projects where you've applied these methods, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've mentored others and fostered professional development. Highlight your experience in managing diverse teams and how you encourage collaboration across functions.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to communicate effectively with both technical teams and business stakeholders, so think about how you can translate your technical knowledge into actionable strategies.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would handle project milestones, quality assurance, and team dynamics, and be ready to discuss your approach to continuous improvement.